Web-Books
in the Austria-Forum
Austria-Forum
Web-Books
TagungsbÀnde
Intelligent Environments 2019 - Workshop Proceedings of the 15th International Conference on Intelligent Environments
Page - 182 -
  • User
  • Version
    • full version
    • text only version
  • Language
    • Deutsch - German
    • English

Page - 182 - in Intelligent Environments 2019 - Workshop Proceedings of the 15th International Conference on Intelligent Environments

Image of the Page - 182 -

Image of the Page - 182 - in Intelligent Environments 2019 - Workshop Proceedings of the 15th International Conference on Intelligent Environments

Text of the Page - 182 -

Therehavebeenproposed somemethods that consider the trade-offwithother fac- tors. Shiraishi et al. [1] proposed amethodwhich recommends tour routes considering the trade-offbetweensatisfactionand time.Tamashiroetal. [13]deïŹnedmulti-objective optimal routingproblems for sightseeingbyextending theoptimal routingproblem and considereda trade-offbetween thevalueof the tourand the requiredmoney.Thesestud- ies, however, consider only a single factor conïŹ‚icting the satisfaction andmultiple con- ïŹ‚icting factors arenot considered. Users take into account not only satisfaction/experience by the tour but also a bal- ancebetweenitandotherfactorssuchasmoney, timeandstaminaduringthetour.There- fore tourplannersmustconsider/comparemultiplePoIs in termsof the trade-offbetween the satisfactionand the resourceconsumption. Inorder tohelpusersmakedecisionforagoodsightseeingtour,wemodel thisprob- lem as amulti-objective optimizationmethodwithmoney, time and stamina consump- tion of a tourist and satisfaction degree obtained as independent variables. PSO (Parti- cleSwarmOptimization) andMOGA(Multi-ObjectiveGeneticAlgorithm) are popular methodsforsolvingmulti-objectiveoptimizationproblems.SomealgorithmsforMOGA have been proposed so far [14,3]. Among themNSGA-II is one of themost popular algorithmswhichcanderivediverse solutions. The ïŹnal goal of this work is to presentmultiple diverse tours to users. For this purpose, thediversityofsolutionsisveryimportant.Weconsider threeoffactors:money, time and stamina as resources retained by users, and present diverse solutions to users bysolving the toursearchproblemasamulti-objectiveoptimizationproblem taking into account trade-offbetween these resourcesandsatisfaction. 3. DiverseTourRoutesSearchProblem 3.1. Problem Weassume that user resources consumed by sightseeing activities andmovements be- tweenPoIs are (1) stamina, (2) time and (3)money.Moreover, to simplify theproblem, the tourist’s purpose of the sightseeing tour is only obtaining satisfaction by the sight- seeing. Our target problem is amulti-objective optimization problem to derive tour plans that have higher satisfaction with smaller consumption of resources consisting of stamina, timeandmoney. Thevaluesof fourvariablescorresponding tostamina, time,moneyandsatisfaction varydependingon the initial valuesassigned to thesevariables and increase/decreaseof themat eachPoIandeachmove included in the tourplanunderconsideration. 3.2. ProblemFormulation LetX={x0,...,xn} denote the set of tourist spots (PoIs). Let rn=(mn,tn,sn)T denote thevector of thevaluesof the remaining resources after enjoying sightseeingat eachof n spots. Here,mi, ti and si denote the remaining amounts ofmoney, time and stamina, respectivelyafterenjoying i-thvisitingspot inX.Letr0=(m0,t0,s0)T denote thevector of initial valuesassigned to resourcevariables,wherem0, t0 and s0 are initial valuesand Y.Hiranoetal. /AMethod forGeneratingMultipleTourRoutes182
back to the  book Intelligent Environments 2019 - Workshop Proceedings of the 15th International Conference on Intelligent Environments"
Intelligent Environments 2019 Workshop Proceedings of the 15th International Conference on Intelligent Environments
Title
Intelligent Environments 2019
Subtitle
Workshop Proceedings of the 15th International Conference on Intelligent Environments
Authors
Andrés Muñoz
Sofia Ouhbi
Wolfgang Minker
Loubna Echabbi
Miguel Navarro-CĂ­a
Publisher
IOS Press BV
Date
2019
Language
German
License
CC BY-NC 4.0
ISBN
978-1-61499-983-6
Size
16.0 x 24.0 cm
Pages
416
Category
TagungsbÀnde
Web-Books
Library
Privacy
Imprint
Austria-Forum
Austria-Forum
Web-Books
Intelligent Environments 2019